Amazon's cloud AI and ML services
Amazon Web Services offers a comprehensive AI portfolio including Amazon Bedrock (managed multi-model API for Claude, Llama, Mistral, Titan), Amazon SageMaker (end-to-end ML platform), Amazon Q Developer (AI coding assistant), and purpose-built AI services for vision, speech, translation, and forecasting.
Single API to access models from Anthropic (Claude), Meta (Llama), Mistral, Amazon (Titan), and Cohere
AI coding assistant in AWS Console and VS Code — explains AWS resources, writes IaC, fixes security issues
Complete ML lifecycle: data labeling, feature store, training, hyperparameter tuning, deployment, and monitoring
Fully managed RAG pipeline connecting S3, Confluence, and SharePoint to foundation models
$0
12-month free tier
From $0.0008/1K tokens
Price varies by model
Configurable content filtering, PII redaction, and hallucination detection across all Bedrock models
Purpose-built AI for healthcare data, image/video analysis, and intelligent document processing
SageMaker Studio now offers enhanced notebook instance lifecycle configurations for automated environment setup.
Amazon SageMaker now supports new `g5g` and `g6` NVIDIA GPU instance types for real-time inference, offering improved performance and cost-efficiency.
Custom
1-6 month commitments